↓ Skip to main content

The effects of austerity measures on quality of healthcare services: a national survey of physicians in the public and private sectors in Portugal

Overview of attention for article published in Human Resources for Health, December 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

news
1 news outlet
twitter
15 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
80 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The effects of austerity measures on quality of healthcare services: a national survey of physicians in the public and private sectors in Portugal
Published in
Human Resources for Health, December 2017
DOI 10.1186/s12960-017-0256-6
Pubmed ID
Authors

Tiago Correia, Graça Carapinheiro, Helena Carvalho, José Manuel Silva, Gilles Dussault

Abstract

The European Union member countries reacted differently to the 2008 economic and financial crisis. However, few countries have monitored the outcomes of their policy responses, and there is therefore little evidence as to whether or not savings undermined the performance of health systems. We discuss the situation in Portugal, where a financial adjustment program was implemented between 2011 and 2014, and explore the views of health workers on the effects of austerity measures on quality of care delivery. A nationwide survey of physicians' experiences was conducted in 2013-2014 (n = 3442). We used a two-step model to compare public and private services and look at the possible moderating effects of the physicians' specialty and years of practice. Our data analysis included descriptive statistics, the independent t test, analysis of variance (ANOVA), multivariate logistic regression, General Linear Model Univariate Analysis, non-parametric methods (bootstrap), and post hoc probing. Mainly in the public sector, the policy goal of maintaining quality of care was undermined by a lack of resources, the deterioration in medical residency conditions, and to a lesser extent, greater administrative interference in clinical decision-making. Differences in public and private services showed that the effects of the austerity measures were not the same throughout the health system. Our results also showed that physicians with similar years of practice and in the same medical specialty did not necessarily experience the same pressures. The debate on the effects of austerity measures should focus more closely on health workers' concrete experiences, as they demonstrate the non-linearity between policy setting and expected outcomes. We also suggest that it is necessary to explore the interplay between lower quality and the undermining of trust relationships in health.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 14%
Student > Master 9 11%
Student > Doctoral Student 8 10%
Student > Ph. D. Student 6 8%
Professor > Associate Professor 4 5%
Other 13 16%
Unknown 29 36%
Readers by discipline Count As %
Medicine and Dentistry 10 13%
Social Sciences 9 11%
Business, Management and Accounting 6 8%
Engineering 5 6%
Nursing and Health Professions 3 4%
Other 9 11%
Unknown 38 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 April 2020.
All research outputs
#2,122,600
of 25,765,370 outputs
Outputs from Human Resources for Health
#213
of 1,272 outputs
Outputs of similar age
#45,724
of 446,282 outputs
Outputs of similar age from Human Resources for Health
#7
of 20 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,272 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 446,282 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.